Results 41 to 50 of about 2,162,821 (172)

Ensembled Autoencoder Regularization for Multi-Structure Segmentation for Kidney Cancer Treatment [PDF]

open access: yesarXiv, 2022
The kidney cancer is one of the most common cancer types. The treatment frequently include surgical intervention. However, surgery is in this case particularly challenging due to regional anatomical relations. Organ delineation can significantly improve surgical planning and execution.
arxiv  

Predicting Dosage of Immunosuppressant Drugs After Kidney Transplantation Using Machine Learning [PDF]

open access: yesarXiv, 2023
While kidney transplants are seen as the best treatment option for patients with end-stage renal disease and kidney failure, the organ's health depends on the dosage of immunosuppressant drugs post-transplantation. Due to the dosage variance based on each patient's unique physiology, nephrologists face numerous difficulties when determining the precise
arxiv  

The aging kidney [PDF]

open access: yesKidney International, 2008
Renal aging, by itself, is associated with alterations in renal morphology and a decline in renal function, which is accelerated and/or accentuated by diseases such as diabetes mellitus and hypertension. The aging-related renal insufficiency has important implications with regards to body homeostasis, drug toxicity, and renal transplantation.
Fred G. Silva   +5 more
openaire   +2 more sources

Chronic Kidney Disease Diagnosis and Management: A Review.

open access: yesJournal of the American Medical Association (JAMA), 2019
Importance Chronic kidney disease (CKD) is the 16th leading cause of years of life lost worldwide. Appropriate screening, diagnosis, and management by primary care clinicians are necessary to prevent adverse CKD-associated outcomes, including ...
Teresa K. Chen, D. H. Knicely, M. Grams
semanticscholar   +1 more source

Kidney involvement in COVID-19 and rationale for extracorporeal therapies

open access: yesNature Reviews Nephrology, 2020
The prevalence of direct kidney involvement in novel coronavirus disease (COVID-19) is low, but such involvement is a marker of multiple organ dysfunction and severe disease.
C. Ronco, Thiago Reis
semanticscholar   +1 more source

C-arm Tomographic Imaging Technique for Nephrolithiasis and Detection of Kidney Stones [PDF]

open access: yesarXiv, 2017
In this paper, we investigated a C-arm tomographic technique as a new three dimensional (3D) kidney imaging method for nephrolithiasis and kidney stone detection over view angle less than 180o. Our C-arm tomographic technique provides a series of two dimensional (2D) images with a single scan over 40o view angle.
arxiv  

Decoding myofibroblast origins in human kidney fibrosis

open access: yesNature, 2020
Kidney fibrosis is the hallmark of chronic kidney disease progression; however, at present no antifibrotic therapies exist 1 – 3 . The origin, functional heterogeneity and regulation of scar-forming cells that occur during human kidney fibrosis remain ...
C. Kuppe   +28 more
semanticscholar   +1 more source

Fully-automatic segmentation of kidneys in clinical ultrasound images using a boundary distance regression network [PDF]

open access: yesarXiv, 2019
It remains challenging to automatically segment kidneys in clinical ultrasound images due to the kidneys' varied shapes and image intensity distributions, although semi-automatic methods have achieved promising performance. In this study, we developed a novel boundary distance regression deep neural network to segment the kidneys, informed by the fact ...
arxiv  

Epidemiology of chronic kidney disease: an update 2022.

open access: yesKidney international. Supplement, 2022
C. Kovesdy
semanticscholar   +1 more source

Automatic kidney segmentation in ultrasound images using subsequent boundary distance regression and pixelwise classification networks [PDF]

open access: yesarXiv, 2018
It remains challenging to automatically segment kidneys in clinical ultrasound (US) images due to the kidneys' varied shapes and image intensity distributions, although semi-automatic methods have achieved promising performance. In this study, we propose subsequent boundary distance regression and pixel classification networks to segment the kidneys ...
arxiv  

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